iPad Pro (11-inch)
Geekbench ML Score
1126
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 05:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
485
90.8 IPS |
|
|
Image Classification (F16)
|
100% |
800
149.8 IPS |
|
|
Image Classification (I8)
|
99% |
809
151.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
5.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
415
6.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
412
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
2533
3.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
2286
2.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
2270
2.75 IPS |
|
|
Object Detection (F32)
|
100% |
539
40.2 IPS |
|
|
Object Detection (F16)
|
100% |
894
66.8 IPS |
|
|
Object Detection (I8)
|
97% |
527
39.3 IPS |
|
|
Face Detection (F32)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (F16)
|
97% |
2311
27.5 IPS |
|
|
Face Detection (I8)
|
96% |
2298
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1719
13.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2676
20.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2673
20.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5118
6.73 IPS |
|
|
Style Transfer (F16)
|
100% |
7752
10.2 IPS |
|
|
Style Transfer (I8)
|
100% |
7750
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1252
44.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1478
52.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1491
53.2 IPS |
|
|
Text Classification (F32)
|
100% |
264
379.8 IPS |
|
|
Text Classification (F16)
|
100% |
511
734.3 IPS |
|
|
Text Classification (I8)
|
96% |
511
733.7 IPS |
|
|
Machine Translation (F32)
|
100% |
428
7.88 IPS |
|
|
Machine Translation (F16)
|
100% |
622
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
428
7.87 IPS |
